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distilwhisper_finetune
jimjakdiend/distilwhisper_finetune
distilwhisper_finetune is a automatic speech recognition model from jimjakdiend. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 21, 2024
- SHA
- 7d10d87e
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilwhisper_finetune
This model is a fine-tuned version of distil-whisper/distil-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0432
- eval_wer: 3.2604
- eval_runtime: 848.1823
- eval_samples_per_second: 0.825
- eval_steps_per_second: 0.104
- epoch: 1.7857
- step: 250
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 20
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- May 21, 2024
- Updated
- May 21, 2024